Topics
Topics organize and provide context for data. They allow users to define business terms and relationships that apply to datasets.
You can now explain Topics — what it is, how it works, and why it matters.
Why it matters
Topics make data more understandable and usable for analysis, especially for AI developers and business users. They help in building a common understanding of data across an organization.
How it works
Users define topics by naming them and linking them to specific data elements or concepts. These topics can then be applied to datasets, providing a semantic layer for querying and analysis.
What's happening now
Amazon QuickSight introduces multi-dataset Topics to build a unified semantic layer across datasets, enabling cross-dataset querying [2]. Guidance is available to migrate from legacy Topics to semantic datasets in Amazon QuickSight for richer data enrichment [1].
Auto-generated from Kapyn's news stream · grounded in 2 sources · updated Jul 10, 2026